How to Track Training Load Without Wearables (sRPE × Minutes) + Free Template
Author Athlog Team

Most coaches do not need a lab or a wearable stack to monitor training load well.
They need one method the whole squad can apply consistently.
That method is simple:
Session Load = sRPE × Minutes
- sRPE = athlete’s session effort rating (1–10)
- Minutes = total duration of the session
If you capture this after every session, you can spot risky spikes, manage progression, and communicate with more clarity — even in mixed squads with limited budget.
Why sRPE × minutes works in real coaching environments
Wearables can be useful. But in practice, many teams run into the same issues:
- not every athlete has the same device
- data quality varies by sport and context
- compliance drops over time
- dashboards become noisy and hard to act on
sRPE × minutes solves this by staying simple, low-cost, and sport-agnostic.
You can use it in running, football, basketball, swimming, racket sports, and general team conditioning.
The formula (and one quick example)
Session Load = sRPE × Minutes
Example:
- Session duration: 75 minutes
- Athlete sRPE: 6/10
- Session Load: 450 AU (arbitrary units)
One session alone tells little. The value appears when you track trends daily and weekly.
A practical sRPE scale coaches can standardize
Use a clear 1–10 anchor scale across your team:
- 2–3: very easy / recovery
- 4–5: easy to moderate
- 6–7: hard but controlled
- 8: very hard
- 9–10: maximal / race-like
To improve consistency, ask for sRPE 15–30 minutes after the session, not during peak emotion immediately at the finish.
The minimum template you actually need
You can run this in a spreadsheet, shared form, or directly in Athlog.
Track these columns:
- Date
- Athlete
- Session type (optional but useful)
- Minutes
- sRPE (1–10)
- Session Load (auto = Minutes × sRPE)
Then add weekly rollups:
- 7-day total load
- 4-week rolling average
- Week-over-week change (%)
That is enough to make better decisions fast.
How to interpret load trends without overreacting
Single-day spikes happen. Coaching quality comes from pattern recognition.
Green pattern
- week-over-week load change roughly within a manageable range
- athlete wellness and pain signals stable
Action: stay on plan.
Yellow pattern
- load rising quickly for 1–2 weeks
- one or two recovery markers drifting (sleep, soreness, mood)
Action: keep session intent, reduce volume 15–30%, tighten recovery routines.
Red pattern
- sharp load spike plus worsening wellness or pain trend
- accumulating fatigue across several days
Action: reduce mechanical stress, shift to recovery/technical focus, reassess in 24 hours.
sRPE is not a diagnosis tool. It is an early-warning and decision-support signal.
Common mistakes that break the system
- No standard on when to report sRPE
- Changing the scale language every week
- Collecting load but ignoring wellness context
- Punishing honest high-fatigue reports
- Trying to make the template complex too early
The best system is the one athletes actually complete.
14-day rollout plan for coaches
Days 1–3
- Introduce sRPE anchors to the full squad.
- Explain why honest reporting improves training quality.
Days 4–7
- Collect minutes + sRPE after every session.
- Check compliance daily and fix friction fast.
Days 8–14
- Review 7-day loads and week-over-week change.
- Combine load trends with sleep, soreness, mood, and pain.
- Adjust session volume where needed.
After two weeks, your signal quality is already high enough for better load decisions.
Free template structure (copy/paste)
Use this header in any spreadsheet:
Date | Athlete | Session Type | Minutes | sRPE (1-10) | Session Load | 7-Day Load | 28-Day Avg | WoW Change % | Notes
If you want to keep it even lighter, start with the first six columns only.
Where Athlog helps
Athlog combines session load logging with daily wellness check-ins and coach-athlete communication in one workflow.
That means you can:
- capture sRPE × minutes in seconds
- view trends at athlete and squad level
- pair load with readiness/recovery signals
- avoid spreadsheet and messaging chaos
Final takeaway
You do not need wearables to coach load well.
You need a consistent method, honest athlete reporting, and simple decision rules.
Start with sRPE × minutes, keep the template lightweight, and focus on trends — not noise.